Machine Learning Refined: Foundations, Algorithms, and Applications 1st Edition

4.6 out of 5 stars 26 ratings
ISBN-13: 978-1107123526
ISBN-10: 9781107123526
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Book Description

A new, intuitive approach to machine learning, covering fundamental concepts and real-world applications, with practical MATLAB-based exercises.

Book Description

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.  Additional resources including supplemental discussion topics, code demonstrations, and exercises can be found on the official textbook website at mlrefined.com
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Product details

  • ASIN : 1107123526
  • Publisher : Cambridge University Press; 1st edition (September 1, 2016)
  • Language : English
  • Hardcover : 298 pages
  • ISBN-10 : 9781107123526
  • ISBN-13 : 978-1107123526
  • Item Weight : 1.63 pounds
  • Dimensions : 7 x 0.7 x 9.8 inches
  • Customer Reviews:
    4.6 out of 5 stars 26 ratings

Customer reviews

4.6 out of 5 stars
4.6 out of 5
26 global ratings
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Reviewed in the United States on December 26, 2016
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Reviewed in the United States on January 7, 2017
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Reviewed in the United States on April 26, 2019
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Reviewed in the United States on August 8, 2019
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Reviewed in the United States on September 4, 2017
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Reviewed in the United States on April 14, 2019
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Reviewed in the United States on May 1, 2019
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Top reviews from other countries

SSS
5.0 out of 5 stars Very nice book, good start for machine learning students
Reviewed in Italy on December 2, 2018
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